DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Jinhyuk | - |
dc.contributor.author | Lee, Geehyuk | - |
dc.date.accessioned | 2013-03-18T20:27:23Z | - |
dc.date.available | 2013-03-18T20:27:23Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2005-07-31 | - |
dc.identifier.citation | International Joint Conference on Neural Networks, IJCNN 2005, v.4, no., pp.2184 - 2189 | - |
dc.identifier.uri | http://hdl.handle.net/10203/152166 | - |
dc.description.abstract | The bifurcating neuron (BN) is an integrate-and-fire model neuron that exhibits bistability and attractor-merging crisis. The bifurcating neuron network 1, a network of BNs, was shown to be an associative memory that is robust against spurious minima problems. It was noted that the BN can in fact have multi-stability, which would make the BN a chaotic, multi-state, integrate-and-fire model neuron. This paper is a report of our preliminary study on the tri-stability of the BN, the behaviors of interacting such BNs, and a design of a network of BNs that interact via "mutually-exclusive" coupling, thereby solving a 3-coloring problem. | - |
dc.language | ENG | - |
dc.title | The Bifurcating Neuron Network 3 | - |
dc.type | Conference | - |
dc.identifier.scopusid | 2-s2.0-33750096405 | - |
dc.type.rims | CONF | - |
dc.citation.volume | 4 | - |
dc.citation.beginningpage | 2184 | - |
dc.citation.endingpage | 2189 | - |
dc.citation.publicationname | International Joint Conference on Neural Networks, IJCNN 2005 | - |
dc.identifier.conferencecountry | Canada | - |
dc.identifier.conferencecountry | Canada | - |
dc.contributor.localauthor | Lee, Geehyuk | - |
dc.contributor.nonIdAuthor | Choi, Jinhyuk | - |
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